The research progress of swarm robotics is reviewed in details. The swarm robotics inspired
from nature is a combination of swarm intelligence and robotics, which shows a great …

Target search and tracking is a classical but difficult problem in many research domains,
including computer vision, wireless sensor networks and robotics. We review the seminal …

This paper presents a survey on embedded systems design and applications. Several
platforms for embedded systems, including microcontrollers, microprocessors, field …

In this paper, we study the problem of multi-robot target searching in unknown environments.
For target searching, robots need an efficient method with respect to their limitations and …

The swarm intelligence optimization method is used to study bio-or non-bioinspired and
population-based iterative algorithms for seeking the intrinsic cooperative mechanism in a …

Collaborative assemblies of robots are promising the next generation of robot applications
by ensuring that safe and reliable robots work collectively toward a common goal. To …

Target searching with autonomous robots require an efficient target search method that
considers their constraints and environmental characteristics. Particle swarm optimization …

To solve static and dynamic target searching problems involving multiple robots in unknown
environments, a novel adaptive robotic grey wolf optimizer (GWO) algorithm, named the …

The task of locating a source based on the measurements of the signal emitted/emanating
from it is called the source-seeking problem. In the past few years, there has been a lot of …

Swarm Intelligence (SI) is one of the research fields that has continuously attracted
researcher attention in these last two decades. The flexibility and a well-known …